• DocumentCode
    692457
  • Title

    Concrete and Asphalt Runway Detection in High Resolution Images Using LBP Cascade Classifier

  • Author

    Cruz, Juliano E. C. ; Shiguemori, Elcio H. ; Guimaraes, Lamartine N. F.

  • Author_Institution
    Appl. Comput. Master Program, Inst. Nac. de Pesquisas Espaciais-INPE, Säo Josédos Campos, Brazil
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    465
  • Lastpage
    469
  • Abstract
    Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution satellite imagery is analyzed. Promising results are obtained with the methodology presented in this work, considering objects with variations of scale, rotation and images obtained by different sensors.
  • Keywords
    geophysical image processing; image classification; image resolution; learning (artificial intelligence); object detection; object recognition; LBP cascade classifier; asphalt runway detection; automatic object recognition; concrete runway detection; digital satellite images; high resolution images; Accuracy; Computer vision; Face recognition; Image resolution; Satellites; Training; LBP; boosted cascade; boosting; runway detection; satellite imagery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
  • Conference_Location
    Ipojuca
  • Type

    conf

  • DOI
    10.1109/BRICS-CCI-CBIC.2013.83
  • Filename
    6855892